Role of Artificial Intelligence in Precision Medicine

In-Brief

• The most significant developments in medical care are precision medicine for recent years, influences potential growth in symptom-driven medical practice.
• Experimental research design on the development of medicine using artificial intelligence is still challenging in the healthcare field.
• Pubrica helps you to understand the role of artificial intelligence in the production of precision medicine.

The rise of medicine practise

Over the past years, medical care gives only generalized solutions for all the health issues that will treat many patients with similar symptoms. Cough syrup can apply to the majority of coughing masses patients, and it creates allergic reactions to very few people. It is essential to find alternative medicine for such cases or to create an accurate treatment of therapy using emerging technologies. Experiences and available pieces of evidence on the working methods of the medical community begin in the twentieth century. The detection of bacteria or viruses, the development of new pharmaceutical tools and medical techniques using AI is leading the healthcare towards the development of a fresh start of the century. The evidence-based medicine gets a place from the experience-based medicine using ‘trial-and-error’. To prove the efficacy of treatments and diagnostics in scientific research and clinical experimental design, they started using alternative therapies, preferably modern medicines. People with allergic reactions after consuming cough syrups are prescribed not to use it as they found extensive precision medicine for cough. It gives alternative solutions for some medical issues using AI tools. Many disruptive technologies like cheap genome sequencing, advanced biotechnology, health sensors for the patients, data collection about patients health, hand-held medical devices, provides a vast significance in the twenty-first century under the name of digital health with smartphones and digital trackers even at their home. Now the physicians can’t work on the absence of artificial intelligence tools.

Precision is impossible without AI

The National Institutes of Health states that precision of medicine is ‘a developing approach for disease treatment and prevention that calculates individual variability in genes, environment and lifestyle for every patient.This approach helps the doctors and researchers in predicting more accurate treatment and prevention strategies on a particular disease that will work formany people. It requires significant computing power (supercomputers)and algorithms that can learn quickly by themselves at an extensive rate (deep learning) and generally, an approach that uses the cognitive capabilities of physicians on a new trend (AI). The supercomputers have become a battleground for countries demonstrating their power through them. Deep learning algorithms help in diagnoses at least as well as physicians in cardiology, dermatology and oncology. It is essential to emphasize the uses of combining such algorithms under the guidance of physicians. The grand challenge of the biomedical imaging on an international symposium, metastatic breast cancer is detected in full slide images of the sentinel lymph node. The success rate of winner algorithm is 92.5%. A pathologist independently reviewed the same pictures and got the success rate of 96.6%. The deep learning system’s predictions, the human pathologist’s diagnoses increase the success rate of pathologist’sto 99.5%, an approximately 85% reduction in medical error rate for experimental research design purposes.